Document (#40011)

Author
Paltoglou, G.
Title
Sentiment-based event detection in Twitter
Source
Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1576-1587
Year
2016
Abstract
The main focus of this article is to examine whether sentiment analysis can be successfully used for "event detection," that is, detecting significant events that occur in the world. Most solutions to this problem are typically based on increases or spikes in frequency of terms in social media. In our case, we explore whether sudden changes in the positivity or negativity that keywords are typically associated with can be exploited for this purpose. A data set that contains several million Twitter messages over a 1-month time span is presented and experimental results demonstrate that sentiment analysis can be successfully utilized for this purpose. Further experiments study the sensitivity of both frequency- or sentiment-based solutions to a number of parameters. Concretely, we show that the number of tweets that are used for event detection is an important factor, while the number of days used to extract token frequency or sentiment averages is not. Lastly, we present results focusing on detecting local events and conclude that all approaches are dependant on the level of coverage that such events receive in social media.
Content
Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23465/abstract.
Theme
Internet
Object
Twitter

Similar documents (author)

  1. Paltoglou, G.; Salampasis, M.; Satratzemi, M.: ¬A results merging algorithm for distributed information retrieval environments that combines regression methodologies with a selective download phase (2008) 3.72 
    3.7161405 = sum of:
  3.7161405 = weight(author_txt:paltoglou in 3111) [ClassicSimilarity], result of:
    3.7161405 = fieldWeight in 3111, product of:
      1.0 = tf(freq=1.0), with freq of:
        1.0 = termFreq=1.0
      9.909708 = idf(docFreq=5, maxDocs=44421)
      0.375 = fieldNorm(doc=3111)
  2. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 3.72 
    3.7161405 = sum of:
  3.7161405 = weight(author_txt:paltoglou in 345) [ClassicSimilarity], result of:
    3.7161405 = fieldWeight in 345, product of:
      1.0 = tf(freq=1.0), with freq of:
        1.0 = termFreq=1.0
      9.909708 = idf(docFreq=5, maxDocs=44421)
      0.375 = fieldNorm(doc=345)
  3. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012) 3.72 
    3.7161405 = sum of:
  3.7161405 = weight(author_txt:paltoglou in 972) [ClassicSimilarity], result of:
    3.7161405 = fieldWeight in 972, product of:
      1.0 = tf(freq=1.0), with freq of:
        1.0 = termFreq=1.0
      9.909708 = idf(docFreq=5, maxDocs=44421)
      0.375 = fieldNorm(doc=972)
  4. Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010) 3.10 
    3.0967836 = sum of:
  3.0967836 = weight(author_txt:paltoglou in 200) [ClassicSimilarity], result of:
    3.0967836 = fieldWeight in 200, product of:
      1.0 = tf(freq=1.0), with freq of:
        1.0 = termFreq=1.0
      9.909708 = idf(docFreq=5, maxDocs=44421)
      0.3125 = fieldNorm(doc=200)

Similar documents (content)

  1. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.33 
    0.3327488 = sum of:
  0.3327488 = product of:
    1.1883886 = sum of:
      0.0070434874 = weight(abstract_txt:this in 345) [ClassicSimilarity], result of:
        0.0070434874 = score(doc=345,freq=1.0), product of:
          0.046834916 = queryWeight, product of:
            1.1686804 = boost
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.016654668 = queryNorm
          0.15038967 = fieldWeight in 345, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.0625 = fieldNorm(doc=345)
      0.028730534 = weight(abstract_txt:whether in 345) [ClassicSimilarity], result of:
        0.028730534 = score(doc=345,freq=1.0), product of:
          0.09489945 = queryWeight, product of:
            1.1763262 = boost
            4.8439536 = idf(docFreq=950, maxDocs=44421)
            0.016654668 = queryNorm
          0.3027471 = fieldWeight in 345, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.8439536 = idf(docFreq=950, maxDocs=44421)
            0.0625 = fieldNorm(doc=345)
      0.09906914 = weight(abstract_txt:typically in 345) [ClassicSimilarity], result of:
        0.09906914 = score(doc=345,freq=2.0), product of:
          0.17191622 = queryWeight, product of:
            1.5832676 = boost
            6.519684 = idf(docFreq=177, maxDocs=44421)
            0.016654668 = queryNorm
          0.5762641 = fieldWeight in 345, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            6.519684 = idf(docFreq=177, maxDocs=44421)
            0.0625 = fieldNorm(doc=345)
      0.14418602 = weight(abstract_txt:twitter in 345) [ClassicSimilarity], result of:
        0.14418602 = score(doc=345,freq=3.0), product of:
          0.19287515 = queryWeight, product of:
            1.6770037 = boost
            6.905677 = idf(docFreq=120, maxDocs=44421)
            0.016654668 = queryNorm
          0.74756145 = fieldWeight in 345, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            6.905677 = idf(docFreq=120, maxDocs=44421)
            0.0625 = fieldNorm(doc=345)
      0.28067246 = weight(abstract_txt:events in 345) [ClassicSimilarity], result of:
        0.28067246 = score(doc=345,freq=9.0), product of:
          0.23866242 = queryWeight, product of:
            2.284723 = boost
            6.272122 = idf(docFreq=227, maxDocs=44421)
            0.016654668 = queryNorm
          1.1760229 = fieldWeight in 345, product of:
            3.0 = tf(freq=9.0), with freq of:
              9.0 = termFreq=9.0
            6.272122 = idf(docFreq=227, maxDocs=44421)
            0.0625 = fieldNorm(doc=345)
      0.026060013 = weight(abstract_txt:that in 345) [ClassicSimilarity], result of:
        0.026060013 = score(doc=345,freq=3.0), product of:
          0.10179226 = queryWeight, product of:
            2.5843987 = boost
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.016654668 = queryNorm
          0.25601172 = fieldWeight in 345, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.0625 = fieldNorm(doc=345)
      0.6026269 = weight(abstract_txt:sentiment in 345) [ClassicSimilarity], result of:
        0.6026269 = score(doc=345,freq=5.0), product of:
          0.57287115 = queryWeight, product of:
            4.5697703 = boost
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.016654668 = queryNorm
          1.0519415 = fieldWeight in 345, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.0625 = fieldNorm(doc=345)
    0.28 = coord(7/25)
  2. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012) 0.33 
    0.33257443 = sum of:
  0.33257443 = product of:
    1.1877658 = sum of:
      0.041971453 = weight(abstract_txt:social in 972) [ClassicSimilarity], result of:
        0.041971453 = score(doc=972,freq=5.0), product of:
          0.071451925 = queryWeight, product of:
            1.0207112 = boost
            4.2031517 = idf(docFreq=1804, maxDocs=44421)
            0.016654668 = queryNorm
          0.5874083 = fieldWeight in 972, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            4.2031517 = idf(docFreq=1804, maxDocs=44421)
            0.0625 = fieldNorm(doc=972)
      0.009960996 = weight(abstract_txt:this in 972) [ClassicSimilarity], result of:
        0.009960996 = score(doc=972,freq=2.0), product of:
          0.046834916 = queryWeight, product of:
            1.1686804 = boost
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.016654668 = queryNorm
          0.21268311 = fieldWeight in 972, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.0625 = fieldNorm(doc=972)
      0.014347186 = weight(abstract_txt:used in 972) [ClassicSimilarity], result of:
        0.014347186 = score(doc=972,freq=1.0), product of:
          0.06837691 = queryWeight, product of:
            1.2229149 = boost
            3.3572001 = idf(docFreq=4205, maxDocs=44421)
            0.016654668 = queryNorm
          0.20982501 = fieldWeight in 972, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            3.3572001 = idf(docFreq=4205, maxDocs=44421)
            0.0625 = fieldNorm(doc=972)
      0.1177274 = weight(abstract_txt:twitter in 972) [ClassicSimilarity], result of:
        0.1177274 = score(doc=972,freq=2.0), product of:
          0.19287515 = queryWeight, product of:
            1.6770037 = boost
            6.905677 = idf(docFreq=120, maxDocs=44421)
            0.016654668 = queryNorm
          0.61038136 = fieldWeight in 972, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            6.905677 = idf(docFreq=120, maxDocs=44421)
            0.0625 = fieldNorm(doc=972)
      0.11787229 = weight(abstract_txt:detection in 972) [ClassicSimilarity], result of:
        0.11787229 = score(doc=972,freq=1.0), product of:
          0.2784023 = queryWeight, product of:
            2.467618 = boost
            6.774214 = idf(docFreq=137, maxDocs=44421)
            0.016654668 = queryNorm
          0.42338836 = fieldWeight in 972, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            6.774214 = idf(docFreq=137, maxDocs=44421)
            0.0625 = fieldNorm(doc=972)
      0.033643335 = weight(abstract_txt:that in 972) [ClassicSimilarity], result of:
        0.033643335 = score(doc=972,freq=5.0), product of:
          0.10179226 = queryWeight, product of:
            2.5843987 = boost
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.016654668 = queryNorm
          0.33050975 = fieldWeight in 972, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.0625 = fieldNorm(doc=972)
      0.8522432 = weight(abstract_txt:sentiment in 972) [ClassicSimilarity], result of:
        0.8522432 = score(doc=972,freq=10.0), product of:
          0.57287115 = queryWeight, product of:
            4.5697703 = boost
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.016654668 = queryNorm
          1.48767 = fieldWeight in 972, product of:
            3.1622777 = tf(freq=10.0), with freq of:
              10.0 = termFreq=10.0
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.0625 = fieldNorm(doc=972)
    0.28 = coord(7/25)
  3. Thelwall, M.; Buckley, K.: Topic-based sentiment analysis for the social web : the role of mood and issue-related words (2013) 0.31 
    0.31189847 = sum of:
  0.31189847 = product of:
    1.1139231 = sum of:
      0.040638685 = weight(abstract_txt:social in 2004) [ClassicSimilarity], result of:
        0.040638685 = score(doc=2004,freq=3.0), product of:
          0.071451925 = queryWeight, product of:
            1.0207112 = boost
            4.2031517 = idf(docFreq=1804, maxDocs=44421)
            0.016654668 = queryNorm
          0.5687556 = fieldWeight in 2004, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            4.2031517 = idf(docFreq=1804, maxDocs=44421)
            0.078125 = fieldNorm(doc=2004)
      0.0281019 = weight(abstract_txt:purpose in 2004) [ClassicSimilarity], result of:
        0.0281019 = score(doc=2004,freq=1.0), product of:
          0.08058453 = queryWeight, product of:
            1.0839812 = boost
            4.4636893 = idf(docFreq=1390, maxDocs=44421)
            0.016654668 = queryNorm
          0.34872574 = fieldWeight in 2004, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.4636893 = idf(docFreq=1390, maxDocs=44421)
            0.078125 = fieldNorm(doc=2004)
      0.0088043595 = weight(abstract_txt:this in 2004) [ClassicSimilarity], result of:
        0.0088043595 = score(doc=2004,freq=1.0), product of:
          0.046834916 = queryWeight, product of:
            1.1686804 = boost
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.016654668 = queryNorm
          0.18798709 = fieldWeight in 2004, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.078125 = fieldNorm(doc=2004)
      0.11694686 = weight(abstract_txt:events in 2004) [ClassicSimilarity], result of:
        0.11694686 = score(doc=2004,freq=1.0), product of:
          0.23866242 = queryWeight, product of:
            2.284723 = boost
            6.272122 = idf(docFreq=227, maxDocs=44421)
            0.016654668 = queryNorm
          0.49000952 = fieldWeight in 2004, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            6.272122 = idf(docFreq=227, maxDocs=44421)
            0.078125 = fieldNorm(doc=2004)
      0.14734037 = weight(abstract_txt:detection in 2004) [ClassicSimilarity], result of:
        0.14734037 = score(doc=2004,freq=1.0), product of:
          0.2784023 = queryWeight, product of:
            2.467618 = boost
            6.774214 = idf(docFreq=137, maxDocs=44421)
            0.016654668 = queryNorm
          0.5292355 = fieldWeight in 2004, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            6.774214 = idf(docFreq=137, maxDocs=44421)
            0.078125 = fieldNorm(doc=2004)
      0.018807195 = weight(abstract_txt:that in 2004) [ClassicSimilarity], result of:
        0.018807195 = score(doc=2004,freq=1.0), product of:
          0.10179226 = queryWeight, product of:
            2.5843987 = boost
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.016654668 = queryNorm
          0.18476056 = fieldWeight in 2004, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.078125 = fieldNorm(doc=2004)
      0.7532837 = weight(abstract_txt:sentiment in 2004) [ClassicSimilarity], result of:
        0.7532837 = score(doc=2004,freq=5.0), product of:
          0.57287115 = queryWeight, product of:
            4.5697703 = boost
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.016654668 = queryNorm
          1.3149269 = fieldWeight in 2004, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.078125 = fieldNorm(doc=2004)
    0.28 = coord(7/25)
  4. Malo, P.; Sinha, A.; Korhonen, P.; Wallenius, J.; Takala, P.: Good debt or bad debt : detecting semantic orientations in economic texts (2014) 0.27 
    0.26615417 = sum of:
  0.26615417 = product of:
    0.8317318 = sum of:
      0.012228571 = weight(abstract_txt:based in 2226) [ClassicSimilarity], result of:
        0.012228571 = score(doc=2226,freq=1.0), product of:
          0.06146796 = queryWeight, product of:
            1.1594871 = boost
            3.1830752 = idf(docFreq=5005, maxDocs=44421)
            0.016654668 = queryNorm
          0.1989422 = fieldWeight in 2226, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            3.1830752 = idf(docFreq=5005, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
      0.0070434874 = weight(abstract_txt:this in 2226) [ClassicSimilarity], result of:
        0.0070434874 = score(doc=2226,freq=1.0), product of:
          0.046834916 = queryWeight, product of:
            1.1686804 = boost
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.016654668 = queryNorm
          0.15038967 = fieldWeight in 2226, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
      0.020289985 = weight(abstract_txt:used in 2226) [ClassicSimilarity], result of:
        0.020289985 = score(doc=2226,freq=2.0), product of:
          0.06837691 = queryWeight, product of:
            1.2229149 = boost
            3.3572001 = idf(docFreq=4205, maxDocs=44421)
            0.016654668 = queryNorm
          0.29673737 = fieldWeight in 2226, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.3572001 = idf(docFreq=4205, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
      0.115139164 = weight(abstract_txt:detecting in 2226) [ClassicSimilarity], result of:
        0.115139164 = score(doc=2226,freq=1.0), product of:
          0.2394326 = queryWeight, product of:
            1.868476 = boost
            7.694134 = idf(docFreq=54, maxDocs=44421)
            0.016654668 = queryNorm
          0.4808834 = fieldWeight in 2226, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            7.694134 = idf(docFreq=54, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
      0.07982592 = weight(abstract_txt:frequency in 2226) [ClassicSimilarity], result of:
        0.07982592 = score(doc=2226,freq=1.0), product of:
          0.21469782 = queryWeight, product of:
            2.1669822 = boost
            5.948895 = idf(docFreq=314, maxDocs=44421)
            0.016654668 = queryNorm
          0.37180594 = fieldWeight in 2226, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            5.948895 = idf(docFreq=314, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
      0.093557484 = weight(abstract_txt:events in 2226) [ClassicSimilarity], result of:
        0.093557484 = score(doc=2226,freq=1.0), product of:
          0.23866242 = queryWeight, product of:
            2.284723 = boost
            6.272122 = idf(docFreq=227, maxDocs=44421)
            0.016654668 = queryNorm
          0.39200762 = fieldWeight in 2226, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            6.272122 = idf(docFreq=227, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
      0.036854427 = weight(abstract_txt:that in 2226) [ClassicSimilarity], result of:
        0.036854427 = score(doc=2226,freq=6.0), product of:
          0.10179226 = queryWeight, product of:
            2.5843987 = boost
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.016654668 = queryNorm
          0.3620553 = fieldWeight in 2226, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
      0.4667928 = weight(abstract_txt:sentiment in 2226) [ClassicSimilarity], result of:
        0.4667928 = score(doc=2226,freq=3.0), product of:
          0.57287115 = queryWeight, product of:
            4.5697703 = boost
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.016654668 = queryNorm
          0.81483036 = fieldWeight in 2226, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.0625 = fieldNorm(doc=2226)
    0.32 = coord(8/25)
  5. Chung, W.; Zeng, D.: Social-media-based public policy informatics : sentiment and network analyses of U.S. immigration and border security (2016) 0.27 
    0.26608276 = sum of:
  0.26608276 = product of:
    0.95029557 = sum of:
      0.03754041 = weight(abstract_txt:social in 4969) [ClassicSimilarity], result of:
        0.03754041 = score(doc=4969,freq=4.0), product of:
          0.071451925 = queryWeight, product of:
            1.0207112 = boost
            4.2031517 = idf(docFreq=1804, maxDocs=44421)
            0.016654668 = queryNorm
          0.52539396 = fieldWeight in 4969, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            4.2031517 = idf(docFreq=1804, maxDocs=44421)
            0.0625 = fieldNorm(doc=4969)
      0.01729381 = weight(abstract_txt:based in 4969) [ClassicSimilarity], result of:
        0.01729381 = score(doc=4969,freq=2.0), product of:
          0.06146796 = queryWeight, product of:
            1.1594871 = boost
            3.1830752 = idf(docFreq=5005, maxDocs=44421)
            0.016654668 = queryNorm
          0.28134674 = fieldWeight in 4969, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.1830752 = idf(docFreq=5005, maxDocs=44421)
            0.0625 = fieldNorm(doc=4969)
      0.009960996 = weight(abstract_txt:this in 4969) [ClassicSimilarity], result of:
        0.009960996 = score(doc=4969,freq=2.0), product of:
          0.046834916 = queryWeight, product of:
            1.1686804 = boost
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.016654668 = queryNorm
          0.21268311 = fieldWeight in 4969, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.4062347 = idf(docFreq=10885, maxDocs=44421)
            0.0625 = fieldNorm(doc=4969)
      0.06612381 = weight(abstract_txt:media in 4969) [ClassicSimilarity], result of:
        0.06612381 = score(doc=4969,freq=4.0), product of:
          0.10421251 = queryWeight, product of:
            1.2326956 = boost
            5.076075 = idf(docFreq=753, maxDocs=44421)
            0.016654668 = queryNorm
          0.6345094 = fieldWeight in 4969, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            5.076075 = idf(docFreq=753, maxDocs=44421)
            0.0625 = fieldNorm(doc=4969)
      0.14418602 = weight(abstract_txt:twitter in 4969) [ClassicSimilarity], result of:
        0.14418602 = score(doc=4969,freq=3.0), product of:
          0.19287515 = queryWeight, product of:
            1.6770037 = boost
            6.905677 = idf(docFreq=120, maxDocs=44421)
            0.016654668 = queryNorm
          0.74756145 = fieldWeight in 4969, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            6.905677 = idf(docFreq=120, maxDocs=44421)
            0.0625 = fieldNorm(doc=4969)
      0.0150457565 = weight(abstract_txt:that in 4969) [ClassicSimilarity], result of:
        0.0150457565 = score(doc=4969,freq=1.0), product of:
          0.10179226 = queryWeight, product of:
            2.5843987 = boost
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.016654668 = queryNorm
          0.14780845 = fieldWeight in 4969, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            2.3649352 = idf(docFreq=11344, maxDocs=44421)
            0.0625 = fieldNorm(doc=4969)
      0.66014475 = weight(abstract_txt:sentiment in 4969) [ClassicSimilarity], result of:
        0.66014475 = score(doc=4969,freq=6.0), product of:
          0.57287115 = queryWeight, product of:
            4.5697703 = boost
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.016654668 = queryNorm
          1.1523442 = fieldWeight in 4969, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            7.5270805 = idf(docFreq=64, maxDocs=44421)
            0.0625 = fieldNorm(doc=4969)
    0.28 = coord(7/25)